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Copy file name to clipboardExpand all lines: README.md
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## Prerequisites
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1) Local development on Windows or Mac can be challenging because they lack the Linux libraries required by the API. Since the API is designed to run in a Python 3.11 environment on a Rocky 9 Linux machine, it’s best to use a Rocky 9 development VM to closely mirror the production setup.
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2) One of the dependencies used in this API [(`epac-data-sim`)](https://github.com/CentralLaserFacility/EPAC-DataSim) is a private repository, so the appropriate permissions and SSH keys need to be set up. Guidance for setting up SSH keys for the Rocky 9 VM can be found [here](https://docs.github.com/en/authentication/connecting-to-github-with-ssh/generating-a-new-ssh-key-and-adding-it-to-the-ssh-agent?platform=linux).
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2) You'll need a developer bucket in echo to use the test script to prefill echo, and a local database, with data.
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3) One of the dependencies used in this API [(`epac-data-sim`)](https://github.com/CentralLaserFacility/EPAC-DataSim) is a private repository, so the appropriate permissions and SSH keys need to be set up. Guidance for setting up SSH keys for the Rocky 9 VM can be found [here](https://docs.github.com/en/authentication/connecting-to-github-with-ssh/generating-a-new-ssh-key-and-adding-it-to-the-ssh-agent?platform=linux).
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## Environment Setup
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poetry env use python3.11
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# Install the dependencies
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poetry install
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# If you don't need the simulated data, or don't have access to the epac repo...
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